ccc_samp: Sample cumulative CCES data
In kuriwaki/ccesMRPprep: Functions and Data to Prepare CCES data for MRP

ccc_samp

R Documentation

Sample cumulative CCES data

Description

The cumulative CCES stacks CCES common content for all years and harmonizes the variables, which makes it ideal for using it for MRP. This is a sample for illustration; see get_cces_dataverse to get the full data.

Usage

ccc_samp

Format

A data frame with 1000 observations. See the CCES cumulative codebook for more explanation of the variables

year: Year of the common content
case_id: Respondent identifier (unique within each year)
state: State (in the form of state.name)
st: State Abbreviation (in the form of state.abb)
cd: Congressional district at the time of the survey. See ccc_std_demographics for how it is and should be standardized.
zipcode: Zipcode (See codebook)
county_fips: County FIPS code (See codebook)
gender: Gender (equivalent to sex in ACS for the purposes of this package)
age: Age, in integers
race: Race and ethnicity
hispanic: Hispanic identifier
educ: Education level
faminc: Family Income
marstat: Martial status
newsint: Frequency of following the news
vv_turnout_gvm: Validated turnout in general election
voted_pres_16: Self-reported vote choice for 2016
economy_retro: Opinion on retrospective economy

Details

This is encoded as a RDS file with some variables stored in the Stata-based integer + labelled class instead of as factors. See the CCES cumulative guide for the difference between the two and how to go from one to another.